_COUPLE=1;
_VITESSE=2;
data=struct();
data.type_experience=_VITESSE;
data.file_name='test_04_02_2015_09h_11mn_40s_VitesseCte-1000rpmX100.m';
data.description_experience="Consigne de vitesse sinusoidale, avec asservissement";
data.values=zeros(1799,6);% Indices des colonnes de données
data.col_time=1;
data.col_position=2;
data.col_vitesse=3;
data.col_current=4;
data.col_load=5;
data.col_consigne=6;
i=0;
i=i+1;data.values(i,:)=[0,1613,0,2051,1072,-1000];
i=i+1;data.values(i,:)=[15010,1614,8,2065,1127,-1000];
i=i+1;data.values(i,:)=[30007,1619,32,2073,1132,-1000];
i=i+1;data.values(i,:)=[45006,1627,56,2068,1113,-1000];
i=i+1;data.values(i,:)=[60006,1638,76,2071,1084,-1000];
i=i+1;data.values(i,:)=[75003,1648,88,2073,1072,-1000];
i=i+1;data.values(i,:)=[90005,1660,84,2074,1086,-1000];
i=i+1;data.values(i,:)=[105004,1672,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[120005,1684,88,2070,1086,-1000];
i=i+1;data.values(i,:)=[135006,1695,88,2073,1072,-1000];
i=i+1;data.values(i,:)=[150005,1706,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[165006,1717,88,2069,1078,-1000];
i=i+1;data.values(i,:)=[179007,1727,84,2072,1078,-1000];
i=i+1;data.values(i,:)=[189004,1734,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[199006,1741,88,2071,1086,-1000];
i=i+1;data.values(i,:)=[209006,1749,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[219005,1757,88,2069,1078,-1000];
i=i+1;data.values(i,:)=[229004,1764,88,2072,1066,-1000];
i=i+1;data.values(i,:)=[239001,1772,88,2071,1078,-1000];
i=i+1;data.values(i,:)=[249005,1779,88,2071,1078,-1000];
i=i+1;data.values(i,:)=[259006,1786,88,2072,1072,-1000];
i=i+1;data.values(i,:)=[269005,1794,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[279005,1801,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[289005,1809,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[299005,1816,88,2073,1072,-1000];
i=i+1;data.values(i,:)=[309005,1824,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[319005,1831,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[329007,1839,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[341008,1847,88,2072,1072,-1000];
i=i+1;data.values(i,:)=[351016,1856,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[361003,1864,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[371002,1871,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[381002,1879,88,2067,1072,-1000];
i=i+1;data.values(i,:)=[391003,1886,84,2069,1086,-1000];
i=i+1;data.values(i,:)=[401004,1893,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[411004,1901,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[421003,1908,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[431003,1916,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[441005,1923,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[451003,1931,92,2069,1072,-1000];
i=i+1;data.values(i,:)=[461001,1938,84,2074,1072,-1000];
i=i+1;data.values(i,:)=[471002,1946,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[481002,1953,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[491002,1960,88,2073,1086,-1000];
i=i+1;data.values(i,:)=[501002,1968,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[511005,1976,84,2073,1086,-1000];
i=i+1;data.values(i,:)=[521003,1983,84,2069,1086,-1000];
i=i+1;data.values(i,:)=[531003,1990,88,2072,1086,-1000];
i=i+1;data.values(i,:)=[541003,1998,84,2070,1066,-1000];
i=i+1;data.values(i,:)=[551003,2006,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[561002,2013,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[571003,2021,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[581004,2027,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[591003,2035,88,2071,1078,-1000];
i=i+1;data.values(i,:)=[601009,2043,84,2069,1086,-1000];
i=i+1;data.values(i,:)=[611002,2050,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[621003,2057,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[631002,2065,92,2072,1072,-1000];
i=i+1;data.values(i,:)=[641004,2073,88,2070,1086,-1000];
i=i+1;data.values(i,:)=[651002,2081,88,2073,1078,-1000];
i=i+1;data.values(i,:)=[660998,2088,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[671004,2095,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[681002,2103,88,2071,1086,-1000];
i=i+1;data.values(i,:)=[691003,2111,88,2074,1072,-1000];
i=i+1;data.values(i,:)=[701000,2118,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[711003,2125,88,2068,1072,-1000];
i=i+1;data.values(i,:)=[721000,2133,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[731933,2141,84,2069,1086,-1000];
i=i+1;data.values(i,:)=[742000,2148,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[753001,2155,88,2072,1072,-1000];
i=i+1;data.values(i,:)=[763005,2164,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[773005,2172,88,2070,1064,-1000];
i=i+1;data.values(i,:)=[783007,2179,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[793007,2187,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[803002,2193,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[812999,2201,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[823004,2209,92,2070,1086,-1000];
i=i+1;data.values(i,:)=[833006,2217,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[843009,2223,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[853005,2231,88,2068,1072,-1000];
i=i+1;data.values(i,:)=[863005,2239,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[873004,2245,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[883009,2252,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[893006,2260,88,2067,1072,-1000];
i=i+1;data.values(i,:)=[903007,2267,88,2072,1080,-1000];
i=i+1;data.values(i,:)=[913005,2275,92,2071,1072,-1000];
i=i+1;data.values(i,:)=[923007,2283,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[933005,2290,88,2067,1072,-1000];
i=i+1;data.values(i,:)=[943006,2297,92,2070,1064,-1000];
i=i+1;data.values(i,:)=[953002,2305,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[963004,2313,84,2072,1064,-1000];
i=i+1;data.values(i,:)=[973000,2319,84,2069,1078,-1000];
i=i+1;data.values(i,:)=[983004,2327,88,2070,1064,-1000];
i=i+1;data.values(i,:)=[993002,2335,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1003005,2342,88,2074,1078,-1000];
i=i+1;data.values(i,:)=[1013003,2350,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1023003,2357,84,2071,1078,-1000];
i=i+1;data.values(i,:)=[1033000,2364,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1043004,2371,84,2071,1078,-1000];
i=i+1;data.values(i,:)=[1053001,2379,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1063004,2386,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[1073003,2393,92,2067,1072,-1000];
i=i+1;data.values(i,:)=[1083013,2401,88,2069,1078,-1000];
i=i+1;data.values(i,:)=[1093005,2408,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1103003,2416,84,2067,1078,-1000];
i=i+1;data.values(i,:)=[1113002,2423,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1123003,2430,88,2068,1072,-1000];
i=i+1;data.values(i,:)=[1133002,2437,88,2070,1070,-1000];
i=i+1;data.values(i,:)=[1143007,2445,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1153003,2452,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1163004,2460,88,2071,1078,-1000];
i=i+1;data.values(i,:)=[1173002,2467,92,2070,1078,-1000];
i=i+1;data.values(i,:)=[1183003,2474,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1193004,2482,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[1203004,2490,88,2072,1072,-1000];
i=i+1;data.values(i,:)=[1213002,2497,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1223005,2504,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1233002,2512,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[1243008,2520,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[1253002,2527,84,2072,1086,-1000];
i=i+1;data.values(i,:)=[1263003,2534,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1273002,2542,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1283003,2549,88,2067,1072,-1000];
i=i+1;data.values(i,:)=[1293003,2557,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[1303003,2563,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1313002,2571,84,2070,1078,-1000];
i=i+1;data.values(i,:)=[1323002,2578,84,2072,1086,-1000];
i=i+1;data.values(i,:)=[1333003,2585,88,2073,1072,-1000];
i=i+1;data.values(i,:)=[1343004,2593,92,2069,1072,-1000];
i=i+1;data.values(i,:)=[1353003,2601,88,2072,1072,-1000];
i=i+1;data.values(i,:)=[1363002,2609,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1373002,2616,84,2070,1064,-1000];
i=i+1;data.values(i,:)=[1383003,2623,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1393002,2630,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[1403004,2638,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1413003,2646,88,2068,1058,-1000];
i=i+1;data.values(i,:)=[1423002,2653,92,2071,1072,-1000];
i=i+1;data.values(i,:)=[1433002,2661,88,2067,1078,-1000];
i=i+1;data.values(i,:)=[1443003,2668,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[1453003,2675,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[1463003,2683,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[1473003,2690,88,2068,1072,-1000];
i=i+1;data.values(i,:)=[1483002,2697,92,2069,1078,-1000];
i=i+1;data.values(i,:)=[1493003,2705,88,2068,1072,-1000];
i=i+1;data.values(i,:)=[1503003,2713,88,2071,1064,-1000];
i=i+1;data.values(i,:)=[1513001,2720,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1523000,2728,88,2071,1064,-1000];
i=i+1;data.values(i,:)=[1533003,2735,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1543003,2743,84,2071,1078,-1000];
i=i+1;data.values(i,:)=[1553004,2750,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1563004,2756,88,2075,1064,-1000];
i=i+1;data.values(i,:)=[1573004,2764,88,2071,1078,-1000];
i=i+1;data.values(i,:)=[1584002,2772,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1594003,2780,84,2069,1058,-1000];
i=i+1;data.values(i,:)=[1604003,2786,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1614004,2793,88,2068,1072,-1000];
i=i+1;data.values(i,:)=[1625005,2802,84,2070,1078,-1000];
i=i+1;data.values(i,:)=[1637002,2810,88,2071,1078,-1000];
i=i+1;data.values(i,:)=[1649002,2820,88,2070,1064,-1000];
i=i+1;data.values(i,:)=[1660003,2828,88,2068,1086,-1000];
i=i+1;data.values(i,:)=[1670002,2835,88,2070,1064,-1000];
i=i+1;data.values(i,:)=[1680003,2843,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1692003,2851,92,2070,1072,-1000];
i=i+1;data.values(i,:)=[1703003,2860,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1714002,2868,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[1725003,2877,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[1737003,2884,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1748002,2893,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1760003,2901,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[1771004,2909,88,2072,1086,-1000];
i=i+1;data.values(i,:)=[1783005,2918,84,2072,1086,-1000];
i=i+1;data.values(i,:)=[1794002,2927,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[1805003,2935,92,2070,1072,-1000];
i=i+1;data.values(i,:)=[1816002,2944,88,2070,1086,-1000];
i=i+1;data.values(i,:)=[1828002,2953,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1839004,2961,84,2073,1072,-1000];
i=i+1;data.values(i,:)=[1851004,2969,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1862002,2977,88,2072,1072,-1000];
i=i+1;data.values(i,:)=[1874003,2986,92,2070,1072,-1000];
i=i+1;data.values(i,:)=[1885003,2995,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[1896000,3003,84,2069,1086,-1000];
i=i+1;data.values(i,:)=[1907009,3012,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1919002,3020,92,2070,1072,-1000];
i=i+1;data.values(i,:)=[1930002,3029,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1942002,3038,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1954002,3046,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[1966003,3055,84,2069,1064,-1000];
i=i+1;data.values(i,:)=[1976005,3062,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[1987003,3071,92,2070,1072,-1000];
i=i+1;data.values(i,:)=[1998003,3080,88,2069,1066,-1000];
i=i+1;data.values(i,:)=[2010005,3089,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[2021006,3097,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[2033006,3105,84,2071,1072,-1000];
i=i+1;data.values(i,:)=[2045006,3115,84,2072,1086,-1000];
i=i+1;data.values(i,:)=[2057009,3123,88,2069,1078,-1000];
i=i+1;data.values(i,:)=[2067007,3130,84,2071,1086,-1000];
i=i+1;data.values(i,:)=[2078002,3139,92,2070,1072,-1000];
i=i+1;data.values(i,:)=[2090001,3149,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[2102003,3157,92,2072,1072,-1000];
i=i+1;data.values(i,:)=[2112002,3166,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[2124004,3173,84,2070,1086,-1000];
i=i+1;data.values(i,:)=[2136003,3182,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[2147006,3190,84,2073,1086,-1000];
i=i+1;data.values(i,:)=[2158002,3198,84,2070,1072,-1000];
i=i+1;data.values(i,:)=[2168003,3206,88,2070,1086,-1000];
i=i+1;data.values(i,:)=[2180006,3215,88,2070,1064,-1000];
i=i+1;data.values(i,:)=[2192005,3224,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[2203005,3233,84,2071,1066,-1000];
i=i+1;data.values(i,:)=[2215004,3241,88,2069,1078,-1000];
i=i+1;data.values(i,:)=[2228003,3251,88,2067,1078,-1000];
i=i+1;data.values(i,:)=[2238004,3258,84,2070,1086,-1000];
i=i+1;data.values(i,:)=[2249003,3268,88,2072,1078,-1000];
i=i+1;data.values(i,:)=[2260004,3276,84,2072,1078,-1000];
i=i+1;data.values(i,:)=[2272002,3284,88,2074,1078,-1000];
i=i+1;data.values(i,:)=[2283004,3293,84,2069,1080,-1000];
i=i+1;data.values(i,:)=[2294004,3302,88,2070,1080,-1000];
i=i+1;data.values(i,:)=[2306004,3311,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[2319004,3320,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[2330002,3328,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[2340002,3335,84,2069,1072,-1000];
i=i+1;data.values(i,:)=[2352003,3344,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[2364003,3353,88,2070,1078,-1000];
i=i+1;data.values(i,:)=[2374003,3361,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[2385003,3370,88,2072,1066,-1000];
i=i+1;data.values(i,:)=[2397002,3379,88,2071,1072,-1000];
i=i+1;data.values(i,:)=[2409890,3388,88,2069,1072,-1000];
i=i+1;data.values(i,:)=[2420003,3396,88,2069,1086,-1000];
i=i+1;data.values(i,:)=[2431002,3404,84,2068,1072,-1000];
i=i+1;data.values(i,:)=[2443002,3413,88,2070,1086,-1000];
i=i+1;data.values(i,:)=[2455001,3422,84,2073,1072,-1000];
i=i+1;data.values(i,:)=[2466001,3430,92,2072,1072,-1000];
i=i+1;data.values(i,:)=[2480002,3440,84,2069,1066,-1000];
i=i+1;data.values(i,:)=[2494002,3452,84,2072,1072,-1000];
i=i+1;data.values(i,:)=[2509002,3463,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[2522002,3472,88,2070,1072,-1000];
i=i+1;data.values(i,:)=[2536001,3484,92,2070,1086,-1000];
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